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Genomes may be analyzed from an information viewpoint as very long strings,containing functional elements of variable length, which have been assembled byevolution. In this work an innovative information theory based algorithm isproposed, to extract significant (relatively small) dictionaries of genomicwords. Namely, conceptual analyses are here combined with empirical studies, toopen up a methodology for the extraction of variable length dictionaries fromgenomic sequences, based on the information content of some factors. Itsapplication to human chromosomes highlights an original inter-chromosomalsimilarity in terms of factor distributions.

A word recurrence based algorithm to extract genomic dictionaries